DEVELOPMENT... OpenML
Run
125070

Run 125070

Task 50 (Supervised Classification) heart-h Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_NaiveBayes(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_NaiveBayes(2)_I160
weka.AdaBoostM1_NaiveBayes(2)_P100
weka.AdaBoostM1_NaiveBayes(2)_S1
weka.AdaBoostM1_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.8747
Per class
Build CPU time
0.0382
Build memory
1601528778.3401
F measure
0.8464
Per class
Kappa
0.666
KB relative information score
141.4158
Mean absolute error
0.094
Mean prior absolute error
0.1867
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8461
Per class
Predictive accuracy
0.8469
Prior entropy
1.0314
Recall
0.8469
Per class
Relative absolute error
0.5032
Root mean prior squared error
0.3037
Root mean squared error
0.2257
Root relative squared error
0.743
SciMark benchmark
943.5504